loubnabnl HF Staff commited on
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End of training

Browse files
README.md CHANGED
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  ---
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  base_model: HuggingFaceTB/135M-lc-100k-rope-12B
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  tags:
 
 
 
 
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  - trl
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  - sft
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  - generated_from_trainer
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  datasets:
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- - generator
 
 
 
 
 
 
 
 
 
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  model-index:
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  - name: smollm2-135M-8k-lc100k-mix1-ep2
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  results: []
@@ -17,7 +30,7 @@ should probably proofread and complete it, then remove this comment. -->
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/loubnabnl/huggingface/runs/bxdnlpsh)
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  # smollm2-135M-8k-lc100k-mix1-ep2
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- This model is a fine-tuned version of [HuggingFaceTB/135M-lc-100k-rope-12B](https://huggingface.co/HuggingFaceTB/135M-lc-100k-rope-12B) on the generator dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.8390
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  ---
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  base_model: HuggingFaceTB/135M-lc-100k-rope-12B
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  tags:
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+ - alignment-handbook
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+ - trl
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+ - sft
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+ - generated_from_trainer
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  - trl
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  - sft
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  - generated_from_trainer
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  datasets:
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+ - HuggingFaceTB/magpie-ultra-v1.0-top-300K-short-H4
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+ - HuggingFaceTB/OpenHermes-2.5-H4-200k
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+ - HuggingFaceTB/ifeval-like-data-36k-H4
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+ - HuggingFaceTB/everyday-conversations-llama3.1-2k
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+ - HuggingFaceTB/self-oss-instruct-sc2-H4
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+ - HuggingFaceTB/summarization-data-10k-H4
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+ - HuggingFaceTB/smollm-v2-summarization
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+ - HuggingFaceTB/smollm-v2-rewriting-50k-H4
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+ - HuggingFaceTB/explore-instruct-rewrite-H4
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+ - HuggingFaceTB/LongAlign-16k-ctx-english-H4
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  model-index:
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  - name: smollm2-135M-8k-lc100k-mix1-ep2
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  results: []
 
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/loubnabnl/huggingface/runs/bxdnlpsh)
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  # smollm2-135M-8k-lc100k-mix1-ep2
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+ This model is a fine-tuned version of [HuggingFaceTB/135M-lc-100k-rope-12B](https://huggingface.co/HuggingFaceTB/135M-lc-100k-rope-12B) on the HuggingFaceTB/magpie-ultra-v1.0-top-300K-short-H4, the HuggingFaceTB/OpenHermes-2.5-H4-200k, the HuggingFaceTB/ifeval-like-data-36k-H4, the HuggingFaceTB/everyday-conversations-llama3.1-2k, the HuggingFaceTB/self-oss-instruct-sc2-H4, the HuggingFaceTB/summarization-data-10k-H4, the HuggingFaceTB/smollm-v2-summarization, the HuggingFaceTB/smollm-v2-rewriting-50k-H4, the HuggingFaceTB/explore-instruct-rewrite-H4 and the HuggingFaceTB/LongAlign-16k-ctx-english-H4 datasets.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.8390
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all_results.json CHANGED
@@ -1,5 +1,10 @@
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  {
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  "epoch": 2.0,
 
 
 
 
 
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  "total_flos": 173253108695040.0,
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  "train_loss": 1.2838877389321521,
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  "train_runtime": 2377.8575,
 
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  {
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  "epoch": 2.0,
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+ "eval_loss": 1.8389793634414673,
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+ "eval_runtime": 84.0638,
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+ "eval_samples": 190563,
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+ "eval_samples_per_second": 154.609,
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+ "eval_steps_per_second": 4.842,
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  "total_flos": 173253108695040.0,
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  "train_loss": 1.2838877389321521,
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  "train_runtime": 2377.8575,
config.json CHANGED
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  "tie_word_embeddings": true,
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  "torch_dtype": "bfloat16",
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  "transformers_version": "4.42.3",
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- "use_cache": false,
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  "vocab_size": 49152
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  }
 
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  "tie_word_embeddings": true,
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  "torch_dtype": "bfloat16",
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  "transformers_version": "4.42.3",
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+ "use_cache": true,
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  "vocab_size": 49152
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  }
eval_results.json ADDED
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+ {
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+ "epoch": 2.0,
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+ "eval_loss": 1.8389793634414673,
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+ "eval_runtime": 84.0638,
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+ "eval_samples": 190563,
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+ "eval_samples_per_second": 154.609,
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+ "eval_steps_per_second": 4.842
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+ }
runs/Oct31_07-14-36_ip-26-0-170-143/events.out.tfevents.1730361415.ip-26-0-170-143.2039241.1 ADDED
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+ size 359